Harvard Business Review : 抄録雑誌の概要

Organizing information integration in agri-food: A method based on a service-oriented architecture and living lab approach

http://www.mendling.com/publications/JSS11-description.pdf

Making sense of business process descriptions: An experimental comparison of graphical and textual notations

In order to make good decisions about the design of information systems, an essential skill is to understand process models of the business domain the system is intended to support. Yet, little knowledge to date has been established about the factors that affect how model users comprehend the content of process models. In this study, we use theories of semiotics and cognitive load to theorize how model and personal factors influence how model viewers comprehend the syntactical information of process models. We then report on a four-part series of experiments, in which we examined these factors. Our results show that additional semantical information impedes syntax comprehension, and that theoretical knowledge eases syntax comprehension. Modeling experience further contributes positively to comprehension efficiency, measured as the ratio of correct answers to the time taken to provide answers. We discuss implications for practice and research. Highlights? We uncover effects of knowledge and model semantics on user syntax comprehension. ? Modeling of additional semantic information impedes understanding of model syntax. ? Theoretical knowledge eases syntax comprehension. ? Modeling experience increases comprehension efficiency. ? The findings inform process modeling training decisions and workflow verification.

/pdf/factors-of-process-model-comprehension-findings-from-a-4h0a7uik1i.pdf

Factors of process model comprehension-Findings from a series of experiments

As a result of the growing adoption of Business Process Management (BPM) technology different stakeholders need to understand and agree upon the process models that are used to con?gure BPM systems. However, BPM users have problems dealing with the complexity of such models. Therefore, the challenge is to improve the comprehension of process models. While a substantial amount of literature is devoted to this topic, there is no overview of the various mechanisms that exist to deal with managing complexity in (large) process models. It is thus hard to obtain comparative insight into the degree of support offered for various complexity reducing mechanisms by stateof-the-art languages and tools. This paper focuses on complexity reduction mechanisms that affect the abstract syntax of a process model, i.e. the structure of a process model. These mechanisms are captured as patterns, so that they can be described in their most general form and in a language- and tool-independent manner. The paper concludes with a comparative overview of the degree of support for these patterns offered by state-of-theart languages and language implementations.

Managing process model complexity via abstract syntax modifications

Business process redesign has been intensely studied, particularly since the mid 1990s. One aspect that received little attention, however, is the relationship between business process modeling choices and redesign success. This research gap is addressed through a multi-methods study of 18 business process redesign projects conducted in 18 different organizations. A structural equation model is developed and tested based on data collected from those projects; the results are then triangulated with qualitative data. The structural equation model depicts relationships between the following broad perceptual constructs: communication flow orientation of a business process model, quality of a business process model, and business process redesign success. The communication flow orientation of a business process model is defined as the extent to which a model explicitly shows how communication interactions take place in a process. A model's perceived quality is defined as the degree to which the model presents the following perceptual sub-constructs: ease of generation, ease of understanding, completeness, and accuracy. The results of the study suggest that the degree of communication flow orientation of a business process model is significantly related to the model's perceived quality. Perceived model quality, in turn, is significantly related to perceived business process redesign success. Interestingly, a business process model's perceived completeness does not seem to be influenced by a model's communication flow orientation. The structural equation model accounted for 56% of the explained variance in the business process redesign success construct. The main implication of this study is that a focus on communication flows in business processes is an important ingredient in successful business process redesign projects.

/pdf/communication-flow-orientation-in-business-process-modeling-30278lbxbg.pdf

Azim Danesh-Pajou

Papers

Communication flow orientation in business process modeling and its effect on redesign success: Results from a field study